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Smart Structures and Systems Volume 10, Number 4, October - November 2012 , pages 331-351 DOI: https://doi.org/10.12989/sss.2012.10.4_5.331 |
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SSA-based stochastic subspace identification of structures from output-only vibration measurements |
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Chin-Hsiung Loh, Yi-Cheng Liu and Yi-Qing Ni
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| Abstract | ||
| In this study an output-only system identification technique for civil structures under ambientm vibrations is carried out, mainly focused on using the Stochastic Subspace Identification (SSI) based algorithms. A newly developed signal processing technique, called Singular Spectrum Analysis (SSA), capable to smooth a noisy signal, is adopted for preprocessing the measurement data. An SSA-based SSI algorithm with the aim of finding accurate and true modal parameters is developed through stabilization diagram which is constructed by plotting the identified system poles with increasing the size of data matrix. First, comparative study between different approaches, with and without using SSA to pre-process the data, on determining the model order and selecting the true system poles is examined in this study through numerical simulation. Finally, application of the proposed system identification task to the real large scale structure: Canton Tower, a benchmark problem for structural health monitoring of high-rise slender structures, using SSA-based SSI algorithm is carried out to extract the dynamic characteristics of the tower from output-only measurements. | ||
| Key Words | ||
| state-space model; operational modal analysis; stochastic subspace identification; singular spectrum analysis; covariance-driven SSI; data-driven SSI | ||
| Address | ||
| Chin-Hsiung Loh and Yi-Cheng Liu : Department of Civil Engineering, National Taiwan University, Taiwan Yi-Qing Ni : Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hong Kong | ||